DreamWorks AnimationRemote
Sr Data Engineer
United States of America
Full Time
2 weeks ago
$115,000 - $145,000 USD
H1B Sponsor Likely
Key skills
Data modelingETL/ELT principlesData warehousingAWS S3GCP Cloud StorageAzure Blob StorageIcebergGCP BigQuerySnowflakePythonSQLAirflowCI/CDCloud data engineering design patternsETLELTData EngineeringData WarehousingBigQueryAWSAzureGCPS3Blob StorageCloud StorageAgileMentoring
About this role
NBCUniversal is one of the world's leading media and entertainment companies. They are seeking a Senior Data Engineer to design, build, and evolve their data platforms and pipelines, empowering business units with trusted, scalable data solutions.
Responsibilities:
- Lead the design, development, and scaling of complex data pipelines and platforms
- Partner with business leaders and engineering teams to translate requirements into production-ready data solutions
- Own end-to-end data solutions including modeling, performance, reliability, and cost optimization
- Apply cloud-native design patterns to ensure scalability, security, and maintainability
- Implement CI/CD, testing, monitoring, and data quality best practices
- Provide technical mentorship to junior team members by leading design reviews, conducting thoughtful code reviews, and sharing best practices to raise the overall quality and consistency of data engineering solutions
- Actively participate in agile ceremonies and collaborate with platform and IT teams
Requirements:
- 5+ years of experience in data engineering, demonstrating a foundational understanding of data modeling, ETL/ELT principles, and data warehousing
- Experience with data management fundamentals, data storage principles, and cloud-based data warehouses such as cloud Storage (AWS S3, GCP Cloud Storage, Azure Blob Storage, Iceberg), GCP BigQuery, Snowflake, or similar platforms
- Proficiency in building data pipelines using Python/SQL
- Demonstrate experience with workflow orchestration tools like Airflow, or a willingness to learn
- Experience in applying CI/CD principles and processes to data engineering solutions
- General understanding of cloud data engineering design patterns and use cases
- A bachelor's degree in computer science, Data Science, Statistics, Informatics, Information Systems, Mathematics, Computer Engineering, or a related quantitative discipline is preferred
- Strong problem-solving skills and ability to operate in ambiguous environments
- Demonstrated interest in mentoring and developing other engineers